Communication and Biologic Integrated Circuits (CBIC) Lab.
Research Field
Shuenn-Yuh Lee received the B.S. degree from the National Taiwan Ocean University, Keelung, Taiwan, in 1988, and the M.S. and Ph.D. degrees from the National Cheng Kung University, Tainan, Taiwan, in 1994 and 1999, respectively.
He is a distinguished professor in the Department of Electrical Engineering at National Cheng Kung University, Tainan, Taiwan. He served as the Technical Program Chair (TPC) of the 2014/2015 International Symposium on Bioelectronics & Bioinformatics (ISBB), and the 2015 Taiwan and Japan Conference on Circuits and Systems (TJCAS). He served as General Co-chair of the 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), the 2024 IEEE Asia Pacific Conference on Circuits and Systems, and the Organization Chair of the 2022 IEEE Asia Solid-State Circuits Conference (ASSCC). From 2013 to 2016, he served as the Chairman of the IEEE Solid-State Circuits Society Tainan Chapter. From 2016 to 2017, he served as the Vice Chairman of the IEEE Tainan Section. From 2016 to 2023 and 2026, he served as the Associate Editor of IEEE Transactions on Biomedical Circuits and Systems.
His present research activities involve the design of analog and mixed-signal integrated circuits, biomedical circuits and systems, artificial intelligence integrated circuits, low-power and low-voltage analog circuits, and RF front-end integrated circuits for wireless communications. Dr. Lee is now a member of the Circuits and Systems (CAS) Society, Solid-State Circuits Society (SSCS), and Medicine and Biology Society (EMBS) of IEEE. He is also a member of IEICE.
The mission of 「Communication and Biologic Integrated Circuits (CBIC) Lab.」of National Cheng Kung University is to improve human health. CBIC focused on developing 「Personal Health Guardian - Wearable System and Platform with Artificial Intelligence Internet-of-Things (AIoT) and Artificial Intelligence System-On-Chip (AISoC)」. The mission of CBIC is to build a user-friendly development platform with innovative wearable systems, which consists of the biosignal SOC and modules, user-friendly websites and apps, and the artificial intelligence (AI) system on the edge/cloud. The wearable platform for wireless bio-signal acquisition allows users to access and monitor their vital signs anytime and anywhere. The main advantages of this system are real-time monitoring, convenience for wear, and ease of use. There is a series of products related to「Personal Health Guardian」which are being developed in Yutech to realize our dream 「Medical Electronics Garden」in the world.
The products of 「Personal Health Guardian」includes three parts: 1. Medical Market: (1) Wearable and wireless arrhythmia monitoring system (YuGuard), (2) Intelligent medical stethoscope (YuSound). 2. Wearable Market: (1) Smart clothing (YuCloth), (2) Arrhythmia monitoring belt (YuBelt), (3) Pet ECG monitoring (YuPet). 3. Educative Market: Bio-medical development module for wearable and IoT-based products (TriAnswer). The mentioned products, developed by Yutech, which spun off from the CBIC Lab at NCKU, can be employed in medical, wearable, and educational markets to satisfy customers' diverse demands and achieve the dream of 「Medical Electronics Garden」. The YuGuard receives a TFDA number: 008050, a QMS number: 2183, and an APP: YuGuard in iOS. It has been used in patients for diagnosis, anytime and anywhere. Meanwhile, the telemedicine and video consultation systems with YuGuard and YuSound are being developed in cooperation with Chunghwa Telecom to provide medical treatment at home. The YuPet has been mass-produced and sold in China, South Korea, and Japan. The TriAnswer and YuCloth have been used in Universities and Senior high schools in Taiwan on training courses. The details have been introduced in the video: https://youtu.be/jdgV-7rmt5g and https://youtu.be/EImLhBrz7Q4.
- Implantable telemetry circuits and systems: heart pacemaker, bladder controller, micro-stimulator
- Bio-signal (ECG、EMG、EEG) acquisition circuits and systems: preamplifier, analog filter, ADC/DAC
- Healthcare and wearable systems: RF front-end and analog front-end integration, RFID/ZigBee system
- Low-power circuits for wireless biomedical circuits and systems
- RISC-V and artificial intelligence integrated circuits and systems: RISC-V, AI accelerator
- Memory and sensor computing circuits and systems: optical sensor computing, computing in memory
Personal awards:
- 2025 EE-Times EE Asia Award:YuGard: Wireless and wearable arrhythmia identification patch
- 2025 World’s Top 2% Scientists
- 2024 EE-Times EE Asia Award: Best Development Tool
- 2024 20th IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) Best Demo Award
- 2023 Future Tech – Future Technology Breakthrough Award
- 2022 IEEE Tainan Section Outstanding Technical Achievement Award
- 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) Best Demo Award
- 2018 IEEE CASS Student Competition – Taiwan Representative
- 2018 AI_ROBOT BASE@STSP TAIRA Final Pitch WINNER
- 2017 Ministry of Science and Technology FITI Startup Program – Top 20
- 2017 Ministry of Education - Ustart Startup
- 2017 IEEE CASS Student Competition – World Champion
- 2017 Future Tech – Best Media Attention Award, Best Popularity Award, Future Technology Breakthrough Award
Awards received by students advised:
- Excellent (Analog) Chip Designer Award, Chip Implementation Center (CIC), 2004, 2005, 2006, 2007 in Taiwan.
- Second-Place for the Microcontroller System Design Contest, 2005. ( sponsored by the Ministry of Education, Taiwan)
- Third-Place for the Microcontroller System Design Contest, 2006. ( sponsored by the Ministry of Education, Taiwan)
- Honorable Mention for the Seventh Macronix Golden Silicon Award, 2007. (sponsored by Macronix International Co., LTD)
- First-Place for the National Silicon Intellectual Property Design Contest, 2007. (sponsored by the Ministry of Education, Taiwan)
- Two Student Best Paper Award at the 18th VLSI/CAD Symposium, Taiwan, 2008.
- Student Best Paper Award at the IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) 2008.
- Student Design Contest Award at the 2008 Annual Biomedical Engineering Symposium, Taiwan
- Paper award from 2009 MATLAB & Simulink Tech Forum and Expo.
- Outstanding Chip Designer Award, 2010 (sponsored by the Chip Implementation Cente, Taiwan)
- The 2nd prize of Best Paper Award at the 2nd International Symposium on Bioelectronics & Bioinformatics (ISBB 2011)
- 3rd prize for the Twelfth Macronix Golden Silicon Award, 2012. (sponsored by Macronix International Co., LTD)
- 3rd Prize of Best Paper Award at the 3rd International Symposium on Bioelectronics & Bioinformatics (ISBB 2014)
- The Final Prize of 2017 IEEE CAS Student Design Competition
- 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2019) Best Demo Award
- 2019 IEEE Biomedical Circuits and Systems Conference (BioCAS) Live Demo Award
- 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Best Paper Award: Second Place
- 2022 International Conference on Smart Sensors (ICSS 2022) Distinguished Oral Paper Award
- 2024 20th IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) Best Demo Award
- 2025 IEEE CIS Student Grand Competition: Computational Intelligence in Biomedicine and Healthcare, Third Place Certificate
Education
1994–1999 Ph.D. Department of Electrical Engineering , National Cheng Kung University, Tainan, Taiwan.
1992–1994 M.S. Department of Electrical Engineering , National Cheng Kung University, Tainan, Taiwan.
1984–1988 B.S. Department of Electrical Engineering, National Taiwan Ocean University, Keelung, Taiwan
Current and Previous Appointment(s)/Position(s)
2021- present Distinguished professor Electrical Engineering Department National Cheng Kung University
2023- present Vice Dean, Miin Wu School of Computing National Cheng Kung University
2024- present Deputy Director, Program on Integrated Circuit Design
2022- 2024 Director, MS Degree/Industrial Doctorate Program in Intelligent Computing National Cheng Kung University
2021- 2023 Chairman of System-on-Chip Research Center, National Cheng Kung University
2020- 2025 Convener, MOE Consolidation and Promotion Alliance of Intelligent SoC
2019- present Director (Founder), Your Health Technology (Yutech) Co., Ltd.
2013–2923 Full professor Electrical Engineering Department National Cheng Kung University
2011–2013 Full professor Electrical Engineering Department National Chung Cheng University
2009–2011 Chairman Heterogeneous Integration Consortium Advisory Office of the Ministry of Education, Taiwan
2006–2011 Associate professor Electrical Engineering Department National Chung Cheng University
2002–2006 Assistant professor Electrical Engineering Department National Chung Cheng University
2001ܺ2002 Director Integrated Circuit Design Center Southern Taiwan University of Technology
1999–2002 Assistant professor Electronic Engineering Department Southern Taiwan University of Technology
Job Description
The internship may involve research on the design of Analog Integrated Circuits, Digital Integrated Circuits, Artificial Intelligence (AI) Circuits and Systems, or AI algorithms and architecture
Preferred Intern Educational Level
Senior undergraduate students, Master’s students, or early-stage PhD students in Electrical Engineering, Computer Engineering, or related fields.
Skill sets or Qualities
Basic knowledge of Analog Integrated Circuits, Digital Integrated Circuits, Artificial Intelligence (AI) Circuits and Systems, or AI algorithms and architecture
Interest in analog front-end (signal acquisition), digital circuits and systems (signal processing), AI hardware acceleration, computing in memory (CIM), hardware–software co-design, and wireless bio-signal acquisition system and platform for prevention of cardiovascular disease
Good communication skills and willingness to work on interdisciplinary research projects
Self-motivated and responsible attitude
Experience with simulation tools (e.g., TCAD, SPICE, MATLAB, Python, PyTorch)
Strong analytical, problem-solving, and communication skills